Advertisement
Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- import numpy as np
- import matplotlib.pyplot as plt
- xs = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]
- fx = [5, 6, 8, 10, 12, 13, 12, 10, 8, 10, 8, 11, 7, 9, 11, 10, 9, 12, 11, 6]
- degree = 18
- def interpolate(x):
- index = 0
- assert (xs[0] <= x <= xs[-1])
- for i in range(len(xs)):
- if xs[i] > x:
- index = i
- break
- left = index - ((degree - 1) // 2)
- right = index + ((degree - 1) // 2)
- left = max(0, left)
- right = min(right, len(xs) - 1)
- result = 0
- for i in range(left, right + 1):
- cur = fx[i]
- for j in range(left, right + 1):
- if i == j:
- continue
- cur *= (x - xs[j])
- cur /= (xs[i] - xs[j])
- result += cur
- return result
- x = xs[0]
- dx = 0.01
- gx = []
- gy = []
- while x < xs[-1]:
- gx.append(x)
- gy.append(interpolate(x))
- x += dx
- gx = np.array(gx)
- gy = np.array(gy)
- fig, ax = plt.subplots()
- ax.scatter(gx, gy)
- plt.show()
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement